Aaron Steele
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Insect Science top 10%
Papers in ⓘ
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- Cryptography and Data Security 4
- Privacy-Preserving Technologies in Data 2
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- Hermeneutics and Narrative Identity 1
- Co-authors
- Marina Blanton (4 shared papers)Scott Emrich (3 shared papers)Yihua Zhang (2 shared papers)Michaël C. Fontaine (2 shared papers)Nora J. Besansky (2 shared papers)R. Rebecca Love (2 shared papers)Robert M. Waterhouse (1 shared paper)Xiaofang Jiang (1 shared paper)
- Journals
- Frontiers in Oncology (1 paper)PLoS Computational Biology (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)Molecular Ecology (1 paper)Science (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Aaron Steele
10 papers receiving 689 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Genetics 268
- Insect Science 64
- Artificial Intelligence 162
- Molecular Biology 315
- Ecology, Evolution, Behavior and Systematics 88
Countries citing papers authored by Aaron Steele
This map shows the geographic impact of Aaron Steele's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aaron Steele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Steele more than expected).
Fields of papers citing papers by Aaron Steele
This network shows the impact of papers produced by Aaron Steele. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aaron Steele. The network helps show where Aaron Steele may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Steele, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Extensive introgression in a malaria vector species complex revealed by phylogenomics Hit paper breakdown → | 2014 | 413 |
| 2 | 2017 | 78 | |
| 3 | 2013 | 54 | |
| 4 | 2013 | 47 | |
| 5 | 2013 | 41 | |
| 6 | Secure Computation on Floating Point Numbers. | 2012 | 38 |
| 7 | 2016 | 26 | |
| 8 | 2022 | 2 | |
| 9 | 2011 | 2 | |
| 10 | Teaching Database Concepts using Spatial Data Types | 2013 | 1 |
About Aaron Steele
Aaron Steele is a scholar working on Artificial Intelligence, Philosophy, Computer Networks and Communications, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 10 papers that have together received 702 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Malaria Research and Control (2 papers), Privacy-Preserving Technologies in Data (2 papers), Genetic diversity and population structure (1 paper), Hermeneutics and Narrative Identity (1 paper), Evolution and Genetic Dynamics (1 paper), Energy Efficient Wireless Sensor Networks (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Genetics (268 citations), Insect Science (64 citations), Artificial Intelligence (162 citations), Molecular Biology (315 citations) and Ecology, Evolution, Behavior and Systematics (88 citations). Aaron Steele has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Marina Blanton, Scott Emrich, Yihua Zhang, Michaël C. Fontaine, Nora J. Besansky, R. Rebecca Love, Robert M. Waterhouse, Xiaofang Jiang, Yi-Chieh Wu and Matthew W. Hahn. Their work appears in journals such as Frontiers in Oncology, PLoS Computational Biology, ACM Transactions on Intelligent Systems and Technology, Molecular Ecology and Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.